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    Combinatorial double auction for multi-resource trading in IoT applications by Sara Ranjbaran, Amir reza Jafari, Noel Crespi, Sérgio D. Correia

    Published 2025-06-01
    “…Abstract The proliferation of Internet of Things (IoT) devices has opened new roads for collaborative distributed applications, particularly in smart city environments, where a variety of resources, including sensing, actuation, computation, and storage, are essential for providing effective location-based services. …”
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    Integrated Imager and 3.22 <italic>&#x03BC;</italic>s/Kernel-Latency All-Digital In-Imager Global-Parallel Binary Convolutional Neural Network Accelerator for Image Processing by Ruizhi Wang, Cheng-Hsuan Wu, Makoto Takamiya

    Published 2023-01-01
    “…This represents a latency reduction of 35.6&#x0025; compared to the state-of-the-art in/near-imager-computing works. This proposed global-parallel processing concept opens up the potential for processing high-resolution images in 4K and 8K with the same ultralow latency, marking a significant advancement in high-speed image processing.…”
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    OPTIMIZATION OF ASYMMETRIC BILATERAL COMPLEX FENESTRATION SYSTEMS IN STATE ELEMENTARY SCHOOL CLASSROOMS IN INDONESIA by Dhafira Ramadhani, Rizki Armanto Mangkuto, R. Triyogo, Atthaillah

    Published 2023-12-01
    “…Kata kunci: Complex fenestration; Daylighting; Asymmetrical bilateral opening; Optimization.   …”
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    Provide proactive reproducible analysis transparency with every publication by Paul Meijer, Nicole Howard, Jessica Liang, Autumn Kelsey, Sathya Subramanian, Ed Johnson, Paul Mariz, James Harvey, Madeline Ambrose, Vitalii Tereshchenko, Aldan Beaubien, Neelima Inala, Yousef Aggoune, Stark Pister, Anne Vetto, Melissa Kinsey, Tom Bumol, Ananda Goldrath, Xiaojun Li, Troy Torgerson, Peter Skene, Lauren Okada, Christian La France, Zach Thomson, Lucas Graybuck

    Published 2025-03-01
    “…The high incidence of irreproducible research has led to urgent appeals for transparency and equitable practices in open science. For the scientific disciplines that rely on computationally intensive analyses of large datasets, a granular understanding of the analysis methodology is an essential component of reproducibility. …”
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